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DBMS > EsgynDB vs. PouchDB vs. TerarkDB vs. YottaDB

System Properties Comparison EsgynDB vs. PouchDB vs. TerarkDB vs. YottaDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonPouchDB  Xexclude from comparisonTerarkDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionJavaScript DBMS with an API inspired by CouchDBA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA fast and solid embedded Key-value store
Primary database modelRelational DBMSDocument storeKey-value storeKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score2.18
Rank#114  Overall
#21  Document stores
Score0.00
Rank#385  Overall
#61  Key-value stores
Score0.21
Rank#309  Overall
#43  Key-value stores
Websitewww.esgyn.cnpouchdb.comgithub.com/­bytedance/­terarkdbyottadb.com
Technical documentationpouchdb.com/­guidesbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcyottadb.com/­resources/­documentation
DeveloperEsgynApache Software FoundationByteDance, originally TerarkYottaDB, LLC
Initial release2015201220162001
Current release7.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Sourcecommercial inforestricted open source version availableOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaScriptC++C
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js)Docker
Linux
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnonono
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesyes infovia viewsnono
SQL infoSupport of SQLyesnonoby using the Octo plugin
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
C++ API
Java API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetJavaScriptC++
Java
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresJava Stored ProceduresView functions in JavaScriptno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoUsers and groups based on OS-security mechanisms

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More resources
EsgynDBPouchDBTerarkDBYottaDB
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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